David S. Wilkes
- Surgery top 2%
- Immunology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Oscar W. CummingsKathleen M. HeidlerWilliam J. BurlinghamGerald N. SmithTakehiko FujisawaKazuhiro YasufukuElizabeth A. MicklerTeruaki Mizobuchi
- Topics
- Transplantation: Methods and Outcomes (49 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (32 papers)Immune Cell Function and Interaction (22 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesJapanFrance
In The Last Decade
David S. Wilkes
129 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Surgery 1.4k
- Immunology 1.3k
- Pulmonary and Respiratory Medicine 1.2k
- Epidemiology 684
- Physiology 578
Countries citing papers authored by David S. Wilkes
This map shows the geographic impact of David S. Wilkes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David S. Wilkes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Wilkes more than expected).
Fields of papers citing papers by David S. Wilkes
This network shows the impact of papers produced by David S. Wilkes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David S. Wilkes. The network helps show where David S. Wilkes may publish in the future.
Co-authorship network of co-authors of David S. Wilkes
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Wilkes. A scholar is included among the top collaborators of David S. Wilkes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David S. Wilkes. David S. Wilkes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 25 | |
| 4 | 13 | |
| 5 | The HMGB1-RAGE axis mediates traumatic brain injury-induced pulmonary dysfunction in lung transplantation | 7 |
| 6 | 73 | |
| 7 | 47 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | 85 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 31 | |
| 14 | 53 | |
| 15 | 16 | |
| 16 | 81 | |
| 17 | 25 | |
| 18 | Measurement of IL-6 inhibitory activity in cultured cell supernatants and lysates. | 4 |
| 19 | 11 | |
| 20 | Electronic Warfare Technology - Trends and Visions | 1 |
About David S. Wilkes
David S. Wilkes is a scholar working on Transplantation, Immunology and Microbiology, having authored 132 papers that have together received 4.4k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (49 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (32 papers) and Immune Cell Function and Interaction (22 papers). The work is most often cited by research in Transplantation (509 citations), Immunology (1.3k citations) and Biological Psychiatry (98 citations). David S. Wilkes has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Oscar W. Cummings, Kathleen M. Heidler, William J. Burlingham, Gerald N. Smith, Takehiko Fujisawa, Kazuhiro Yasufuku, Elizabeth A. Mickler, Teruaki Mizobuchi, Tina L. Sumpter and Kenneth S. Knox. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.